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Senior Software Engineer, CUDA Python Core Libraries

NVIDIA· Engineer, Sys SW
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Hybrid (Santa Clara, US), Remote$184k - $287.5kFull-timePosted 3mo ago

About the role

Senior Software Engineer to advance the Python experience for CUDA Core Libraries, building Pythonic APIs, bindings, and runtime infrastructure atop native C/C++ foundations.

Responsibilities

  • Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms.
  • Develop and integrate the native C/C++ components that support Python-facing functionality.
  • Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages.
  • Develop high-performance interfaces that minimize Python and native-language integration overhead.
  • Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance.
  • Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing.
  • Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions.
  • Work directly with users to investigate correctness, usability, compatibility, and performance issues.

Qualifications

  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.
  • 8+ years of relevant software-development experience.
  • Strong production programming skills in both Python and C/C++ (both required).
  • Experience building Python interfaces to native or systems-level software.
  • Understanding of systems software concepts, performance, concurrency, and API design.
  • Practical experience with parallel, heterogeneous, or GPU programming.
  • Experience developing production software or widely used libraries, including testing, profiling, benchmarking, packaging, and code review.
  • Ability to work independently, define project scope, and drive complex work to completion.
  • Clear written communication skills for API specifications, technical designs, and user documentation.
  • Comfort working in large codebases spanning Python, C/C++, build systems, packaging, and CI infrastructure.

Skills

Required:PythonC/C++API designSystems programmingGPU/parallel programming
Nice to have:Interoperability

Benefits

  • equity
  • benefits per NVIDIA offerings
Last updated Sep 4, 2026. Interested? Apply on the company site.

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